Roberto Menichetti

433 citations
15 papers · 272 · h-index 10

Impact in

    • Protein Structure and Dynamics
    • Lipid Membrane Structure and Behavior
    • Block Copolymer Self-Assembly
    • Machine Learning in Materials Science
    • Material Dynamics and Properties

Papers in

    • Protein Structure and Dynamics 7
    • Lipid Membrane Structure and Behavior 5
    • RNA and protein synthesis mechanisms 2
    • Machine Learning in Materials Science 3
    • Enzyme Structure and Function 2

Roberto Menichetti

14 papers receiving 266 citations

Peers

Roberto Menichetti
Comparison fields: 5 of 73
  • Molecular Biology 180
  • Materials Chemistry 103
  • Computational Theory and Mathematics 33
  • Condensed Matter Physics 24
  • Spectroscopy 23
Replace Timothy D. Loose with:
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Pan Tan China
Johannes C. B. Dietschreit Germany
Viacheslav Bolnykh Switzerland
Changsun Eun United States
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Citations per field
00.5×8.4×
Timothy D. Loose · 1×
Citations per year

Countries citing papers authored by Roberto Menichetti

Since Specialization
Citations

This map shows the geographic impact of Roberto Menichetti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roberto Menichetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Menichetti more than expected).

Fields of papers citing papers by Roberto Menichetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto Menichetti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roberto Menichetti. The network helps show where Roberto Menichetti may publish in the future.

Co-authors

The 12 scholars most cited alongside Roberto Menichetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Roberto Menichetti Line = papers co-authored together Roberto Menichetti links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201984
2 202047
3 202132
4 202028
5 201715
6 201912
7 202112
8 202112
9 201512
10 20199
11 20134
12 20243
13 20251
14 20191
15 20250

About Roberto Menichetti

Roberto Menichetti is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Physical and Theoretical Chemistry, having authored 15 papers that have together received 272 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Lipid Membrane Structure and Behavior (5 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers), RNA and protein synthesis mechanisms (2 papers), Enzyme Structure and Function (2 papers) and Crystallography and molecular interactions (2 papers). The work is most often cited by research in Molecular Biology (180 citations), Materials Chemistry (103 citations), Computational Theory and Mathematics (33 citations), Condensed Matter Physics (24 citations) and Spectroscopy (23 citations). Roberto Menichetti has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Tristan Bereau, Marco Giulini, M. Scott Shell, Raffaello Potestio, Christian Hoffmann, Andrea Pelissetto, Kurt Kremer, Carlo Pierleoni, Davide Bacciu and Alessio Micheli. Their work appears in journals such as Physical review. E, Frontiers in Molecular Biosciences, Biochemical and Biophysical Research Communications, The Journal of Physical Chemistry B and The Journal of Chemical Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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